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Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning
16 references·0 citing·47 second hop
Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning (2022)Mitigation Strategies to Improve Reproduc…Reproducibility standards for machine learning in the life sciences (2021)Reproducibility standards for…Reproducibility in machine learning for health research: Still a ways to go (2021)Reproducibility in machine le…Learning from reproducing computational results: introducing three principles and the Reproduction Package (2021)Learning from reproducing com…Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program) (2020)Improving Reproducibility in …dtoolAI: Reproducibility for Deep Learning (2020)dtoolAI: Reproducibility for …Towards FAIR principles for research software (2019)Towards FAIR principles for r…Reproducibility and Replicability in Science (2019)Reproducibility and Replicabi…FAIR Computational Workflows (2019)FAIR Computational WorkflowsCWL-Airflow: a lightweight pipeline manager supporting Common Workflow Language (2019)CWL-Airflow: a lightweight pi…Transforming Our World: The 2030 Agenda for Sustainable Development (2018)Transforming Our World: The 2…Computing environments for reproducibility: Capturing the “Whole Tale” (2018)Computing environments for re…Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041) (2016)Reproducibility of Data-Orien…Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate * (2016)Lights, Camera … Income! 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References

  • 2018Transforming Our World: The 2030 Agenda for Sustainable Development19,434 cited
  • 20161,500 scientists lift the lid on reproducibility4,536 cited
  • 2011Reproducible Research in Computational Science1,484 cited
  • 2019Reproducibility and Replicability in Science1,089 cited
  • 2019Towards FAIR principles for research software328 cited
  • 2021Reproducibility in machine learning for health research: Still a ways to go317 cited
  • 2016Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate *282 cited
  • 2021Reproducibility standards for machine learning in the life sciences269 cited
  • 2012Data quality: A survey of data quality dimensions229 cited
  • 2020Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)228 cited
  • 2019FAIR Computational Workflows171 cited
  • 2018Computing environments for reproducibility: Capturing the “Whole Tale”150 cited
  • 2016Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041)67 cited
  • 2019CWL-Airflow: a lightweight pipeline manager supporting Common Workflow Language65 cited
  • 2021Learning from reproducing computational results: introducing three principles and the Reproduction Package

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46 cited
  • 2020dtoolAI: Reproducibility for Deep Learning38 cited
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